Incorporating Relational Data into the Semantic Web : From Databases to RDF using Relational.OWL

Cristian Pérez de Laborda Schwankhart

ISBN 10: 363942798X / ISBN 13: 9783639427981

Editore: AV Akademikerverlag, 2012

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nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. Relational.OWL is a technique to automatically convert a relational database into a Semantic Web representation, enabling Semantic Web applications to access data actually stored in relational databases using their own built-in functionality. Since this representation does not result in objects containing real semantics, we additionally show how to create mappings from the rela tional model to a target ontology using an arbitrary closed RDF query language. Using current Semantic Web techniques, a formerly relational data item, once converted to its Semantic Web representation, can neither be identified unambiguously, nor be backtracked to its original storage location in the relational database. We hence introduce a novel URI scheme for identifying not only databases, but also their schema and data components like tables or columns, giving us the possibility to specify the exact and identifying storage location of any data item in its original data source.

Codice articolo 9783639427981

Dati bibliografici

• Titolo: Incorporating Relational Data into the Semantic Web : From Databases to RDF using Relational.OWL
• Editore: AV Akademikerverlag
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 363942798X
• ISBN 13: 9783639427981
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 11 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 11 millimetri di profondità
• Peso: 262 grammi

Descrizione articolo

Riassunto

Revision with unchanged content. Relational.OWL is a technique to automatically convert a relational database into a Semantic Web representation, enabling Semantic Web applications to access data actually stored in relational databases using their own built-in functionality. Since this representation does not result in objects containing real semantics, we additionally show how to create mappings from the rela­tional model to a target ontology using an arbitrary closed RDF query language. Using current Semantic Web techniques, a formerly relational data item, once converted to its Semantic Web representation, can neither be identified unambiguously, nor be backtracked to its original storage location in the relational database. We hence introduce a novel URI scheme for identifying not only databases, but also their schema and data components like tables or columns, giving us the possibility to specify the exact and identifying storage location of any data item in its original data source.

L'autore

Dipl.-Inf.: Degree in Computer Science from the Ludwig-Maximilians-Universität München, Ph.D. from the Heinrich-Heine-Universität Düsseldorf.